Latest AI and machine learning research in sports medicine for healthcare professionals.
Simulation-based education has emerged as a strategic response to placement scarcity, workforce strain, and the increasing complexity of nuclear medicine practice. The theoretic principles and simulation architecture are transformed into practical implementation strategies across the nuclear medicine technologist training continuum. Simulation is positioned as a calibrated scaffold that reduces co...
BACKGROUND: Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data collected from commercially available wearables. METHODS...
AIM: This study aimed to evaluate the clinical value of upper limb rehabilitation robot-assisted training in stroke patients. METHODS: A total of 101 ...
Cerebral ischemia-reperfusion injury (CIRI) often results in significant morbidity and mortality. The effectiveness of current reperfusion therapies i...
OBJECTIVES: To develop and validate a machine learning (ML) model integrating dual elastography, clinical features, and serum biomarkers for noninvasi...
PURPOSE OF REVIEW: To review postoperative rehabilitation protocols after surgery for patellar instability, including medial patellofemoral ligament r...
Acute lung injury (ALI) is a significant post-operative complication of liver transplant (LT), with mounting evidence suggesting a role for the gut-lu...
Clinical documentation is a foundational skill in medicine, developed during training and required in everyday practice. Historically, the chart note ...
Wearable sensors have prompted human dynamic monitoring by quantifying physiological and biomechanical signals in daily life. However, existing approa...
BACKGROUND: Accumulation of abnormal contact stress is a primary biomechanical driver of acute meniscal tears and chronic osteoarthritis. While Finite...
BACKGROUND: Myocardial ischemia-reperfusion (I/R) injury disrupts intracellular ion homeostasis, triggering intracellular sodium overload and ultimate...
BACKGROUND: Despite the high prevalence of knee osteoarthritis, the anatomical factors that characterize distinct deformity patterns remain unclear. T...
BACKGROUND: Deep learning (DL) methods have demonstrated promising performance in online motor unit (MU) identification from high-density surface elec...
OBJECTIVE: To explore the survival benefits of beta-blockers in patients with sepsis-induced TnT-positive myocardial injury across different clinical ...
BACKGROUND: Myocardial ischemia-reperfusion injury (MIRI) poses diagnostic challenges due to complex histopathological changes. OBJECTIVE: This study ...
BACKGROUND AND OBJECTIVES: Acute kidney injury (AKI) is a common and clinically important complication in critically ill and perioperative patients. C...
This study developed an integrated diagnostic system for tebuthiuron-induced soil ecotoxicity based on morphophysiological indicators of Mucuna prurie...
BACKGROUND: Diabetic nephropathy (DN) poses a growing worldwide health challenge as a leading cause of end-stage renal disease, a condition that arise...
Elastic mechanoluminescent (ML) materials have significant potential in intelligent sensing, dynamic displays, and artificial intelligence. However, c...
INTRODUCTION: Poststroke cognitive impairment (PSCI) is a prevalent complication of stroke, characterised by deficits in one or more cognitive domains...